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Microsoft Microsoft Certified: Power BI Data Analyst Associate PL-300

PL-300

Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Sep 15, 2026

Q & A: 472 Questions and Answers

PL-300 Free Demo download:

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PL-300 PDF Price: $129.00  $59.99


About Microsoft PL-300 Exam

What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

  • Developing dashboards that provide actionable insights into business performance

  • Identifying sources of data that can contribute to achieving business goals

  • Creating custom data models that support analysis and reporting requirements

  • Understanding business context, including organizational strategy and objectives

Benefits

The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. Itcertmaster Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

The Importance Of Microsoft Power BI Data Analyst Certification Exam For A Career In IT

The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.

There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at Itcertmaster our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Use the Decomposition Tree visual
  • 2. Create metrics using Microsoft measurements
  • 3. Define and monitor KPIs
  • 4. Track goals with scorecards
- Perform analysis in Power BI
  • 1. Apply Quick Insights
  • 2. Configure auto-insights
  • 3. Identify patterns and trends
  • 4. Generate Pinn visual insights
  • 5. Use the Q&A visual
Prepare the Data10-15%- Get data from various data sources
  • 1. Select a shared dataset or create a local copy
  • 2. Use Microsoft Fabric and OneLake
  • 3. Identify and connect to a data source
  • 4. Configure dataset refresh
  • 5. Change data source settings
  • 6. Choose between DirectQuery, Import, and Dual storage modes
- Clean, transform, and load the data
  • 1. Apply user-friendly naming conventions to columns and tables
  • 2. Resolve data quality issues
  • 3. Configure data loading and queries
  • 4. Design and build intermediate tables
  • 5. Profile the data
  • 6. Identify the data structure
  • 7. Determine proper data types
Model the Data25-30%- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Optimize Dax queries
  • 3. Configure aggregations
  • 4. Optimize DirectQuery models
  • 5. Improve user experience by hiding objects
- Develop the data model
  • 1. Implement row-level security roles
  • 2. Use the calculation group feature
  • 3. Create calculated tables and columns
  • 4. Configure table relationships
  • 5. Build hierarchies and hierarchical fields
  • 6. Create common date tables
- Design a data model
  • 1. Implement row-level security
  • 2. Define tables and table schemas
  • 3. Apply field metadata and groupings
  • 4. Determine the appropriate granularity
  • 5. Design a star schema or snowflake schema
  • 6. Resolve performance issues with relationships
- Create measures and DAX calculations
  • 1. Create calculated measures
  • 2. Implement context transition
  • 3. Write and use basic DAX syntax
  • 4. Use Time Intelligence functions
  • 5. Create semi-additive measures
  • 6. Use CALCULATE and FILTER functions
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Manage dataset refresh scheduling
  • 2. Resolve dataset permission issues
  • 3. Manage gateways and data sources
  • 4. Configure dataset metadata and properties
- Create and manage workspaces
  • 1. Publish and update a Power BI app
  • 2. Configure workspace membership and roles
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure content certification
Visualize the Data25-30%- Enhance reports for user experience
  • 1. Add accessibility features and compliance
  • 2. Apply artistic formatting to visuals
  • 3. Design for mobile and specific layouts
  • 4. Add tooltips and navigation
- Build visuals
  • 1. Apply sorting and filtering to visuals
  • 2. Apply AI insights and enhanced analytics
  • 3. Determine the appropriate visual type
  • 4. Configure data colors and shapes
  • 5. Format and configure pages and report backgrounds
  • 6. Configure visual interactions and cross-filtering
- Enrich reports with advanced visuals
  • 1. Configure R and Python visuals
  • 2. Use dynamic page navigation
  • 3. Create custom visuals
  • 4. Integrate Microsoft Copilot for Power BI

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